| other,8-1-I05-6011,ak | annotating scheme </term> that encodes <term> | honorifics | </term> ( respectful words ) . <term> Honorifics | #7938 This paper proposes an annotating scheme that encodeshonorifics (respectful words). | |
| other,4-1-I05-6011,ak | corpora </term> . This paper proposes an <term> | annotating scheme | </term> that encodes <term> honorifics </term> | #7934 This paper proposes anannotating scheme that encodes honorifics (respectful words). | |
| other,10-4-I05-6011,ak | complex task that involves identifying a <term> | predicate | </term> with <term> honorifics </term> , assigning | #7991 Annotating honorifics is a complex task that involves identifying apredicate with honorifics, assigning ranks to referents of the predicate, calibrating the ranks, and connecting referents with their predicates. | |
| other,28-4-I05-6011,ak | calibrating the ranks , and connecting <term> | referents | </term> with their <term> predicates </term> | #8009 Annotating honorifics is a complex task that involves identifying a predicate with honorifics, assigning ranks to referents of the predicate, calibrating the ranks, and connectingreferents with their predicates. | |
| other,12-4-I05-6011,ak | identifying a <term> predicate </term> with <term> | honorifics | </term> , assigning ranks to <term> referents | #7993 Annotating honorifics is a complex task that involves identifying a predicate withhonorifics, assigning ranks to referents of the predicate, calibrating the ranks, and connecting referents with their predicates. | |
| other,7-3-I05-6011,ak | information </term> is vital for resolving <term> | zero pronouns | </term> and improving <term> machine translation | #7973 This referential information is vital for resolvingzero pronouns and improving machine translation outputs. | |
| other,11-3-I05-6011,ak | <term> zero pronouns </term> and improving <term> | machine translation outputs | </term> . Annotating <term> honorifics </term> | #7977 This referential information is vital for resolving zero pronouns and improvingmachine translation outputs. | |
| other,20-4-I05-6011,ak | ranks to <term> referents </term> of the <term> | predicate | </term> , calibrating the ranks , and connecting | #8001 Annotating honorifics is a complex task that involves identifying a predicate with honorifics, assigning ranks to referents of thepredicate, calibrating the ranks, and connecting referents with their predicates. | |
| other,0-2-I05-6011,ak | honorifics </term> ( respectful words ) . <term> | Honorifics | </term> are used extensively in Japanese | #7944 This paper proposes an annotating scheme that encodes honorifics (respectful words).Honorifics are used extensively in Japanese, reflecting the social relationship (e.g. social ranks and age) of the referents. | |
| other,17-4-I05-6011,ak | honorifics </term> , assigning ranks to <term> | referents | </term> of the <term> predicate </term> , calibrating | #7998 Annotating honorifics is a complex task that involves identifying a predicate with honorifics, assigning ranks toreferents of the predicate, calibrating the ranks, and connecting referents with their predicates. | |
| other,31-4-I05-6011,ak | connecting <term> referents </term> with their <term> | predicates | </term> . This article considers approaches | #8012 Annotating honorifics is a complex task that involves identifying a predicate with honorifics, assigning ranks to referents of the predicate, calibrating the ranks, and connecting referents with theirpredicates. | |
| other,1-4-I05-6011,ak | translation outputs </term> . Annotating <term> | honorifics | </term> is a complex task that involves identifying | #7982 Annotatinghonorifics is a complex task that involves identifying a predicate with honorifics, assigning ranks to referents of the predicate, calibrating the ranks, and connecting referents with their predicates. | |
| other,1-3-I05-6011,ak | and age ) of the referents . This <term> | referential information | </term> is vital for resolving <term> zero | #7967 Thisreferential information is vital for resolving zero pronouns and improving machine translation outputs. |
